Style AI
Private betaAn AI personal stylist for the “does this work?” and the “I love this.”
A financial knowledge graph that traces real-world events through their causal consequences — so equity analysts read forward-looking trade ideas instead of assembling them by hand.
Instead of sending analysts to hunt for data, we flip the workflow: data finds its way through a continuously-updated graph, and the graph finds the analyst.
News streams, SEC filings, satellite passes, vessel tracks, weather, disaster alerts, proprietary research — pushed onto an event bus as they happen.
Every event is extracted, typed, and linked against the live graph of entities, sectors, supply chains, and prior causal hypotheses.
Agents walk the graph forward from each new event, score the causal chains, and surface reports with cited evidence — in minutes, not weeks.
This is a real walkthrough from our anchor partner environment. An external event enters the system; agents propagate it through the graph; the analyst receives a scored, cited report before the market has finished reacting.
A long-range missile strikes a high-value urban military target.
Listeners find and analyze videos of the strike from Twitter.
Ingest early reporting from wire services; dedupe and classify.
Pre-set Quickdraw scenarios match. Signals propagate through the graph.
Satellite imagery confirms damage. Report delivered with cited evidence.
Every ticker in the graph carries its own supply-chain DAG — raw materials, suppliers, factories, hubs. When a disruption lands anywhere upstream, the graph knows which tickers to watch and how exposed they are.
Over the past year we've run structured interviews with quants and equity analysts from top desks. The product direction is built on what they told us.
Our other ventures
Investment research is our main focus. We’re also bringing our work in AI to personal style and recruiting, through two additional ventures.
An AI personal stylist for the “does this work?” and the “I love this.”
An AI recruiting agent built around real work and meaningful connections.
We're running pilots with a small set of institutional firms. If your research team is spending weeks on what should take hours, tell us.